J
Jianbing Xiahou
Researcher at Xiamen University
Publications - 37
Citations - 214
Jianbing Xiahou is an academic researcher from Xiamen University. The author has contributed to research in topics: Computer science & Feature selection. The author has an hindex of 8, co-authored 28 publications receiving 158 citations.
Papers
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Journal ArticleDOI
High-order covariate interacted Lasso for feature selection
TL;DR: A new regularization term is devised in the Lasso regression model to impose high order interactions between covariates and responses and an efficient alternating direction method of multipliers (ADMM) is presented to solve the resulting sparse optimization problem.
Proceedings ArticleDOI
Integrated project based learning in software engineering education
TL;DR: This paper presents an education framework to effectively develop crucial software engineering skills in students of software Engineering major at National Exemplary Software School (NESS), Xiamen University with a systematic approach towards integrating project based learning in software engineering major, both inside and outside the classroom.
Journal ArticleDOI
TCM clinic records data mining approaches based on weighted-LDA and multi-relationship LDA model
TL;DR: Analysis of clinical data with topic model can extract TCM treatment rules and provide a novel theoretical method for TCM clinical research.
Journal ArticleDOI
Multi-kernel learning for multivariate performance measures optimization
TL;DR: This paper investigates the problem of optimizing complex multivariate performance measures to learn classifiers for pattern classification problems and proposes to construct an optimal kernel by weighted linear combination of some candidate kernels.
Proceedings ArticleDOI
Real-Time Eye-Gaze Based Interaction for Human Intention Prediction and Emotion Analysis
TL;DR: The methodology analyzes human emotion and cognition status from the aspect of eye-gaze behavior and head motion, understands the cognitive information that human eyes can express, and effectively improves the efficiency of human-computer interaction in different circumstances.